ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.11211
  4. Cited By
Understanding Fairness Surrogate Functions in Algorithmic Fairness

Understanding Fairness Surrogate Functions in Algorithmic Fairness

17 October 2023
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
ArXivPDFHTML

Papers citing "Understanding Fairness Surrogate Functions in Algorithmic Fairness"

8 / 8 papers shown
Title
ReLU integral probability metric and its applications
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
48
0
0
26 Apr 2025
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
Wen Xu
Elham Dolatabadi
FaML
89
0
0
21 Mar 2025
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms
  through the Lens of Covariate Drift
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
Oscar Blessed Deho
Michael Bewong
Selasi Kwashie
Jiuyong Li
Jixue Liu
Lin Liu
Srecko Joksimovic
FaML
24
0
0
19 Sep 2024
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
41
28
0
26 May 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,247
0
09 Jun 2011
1